Scientific Library
External Scientific Grounding
These references map established mathematical, physical, or computer science domains that ground, compare, or constrain this research program.
This page introduces Scientific library as part of Ivan Pasev's public science and systems corpus. It explains the core thesis, its relation to adjacent frameworks, and the review route for readers who want to inspect the claim structure. Where the page presents proposed theory, publication scaffolding, or formalization targets, those claims remain bounded as authorial research pending external review.
Purpose
The Scientific Library maps the external scientific, mathematical, and computational frameworks used to ground, compare, constrain, and contextualize the Science of Fabric Reality (SFR), Digital Fabrica Theory (DFT), and their derived systems. It acts as an epistemic map for scholars to trace how classical, modern, and emerging fields intersect with Ivan Pasev's candidate formulations.
Evidence Boundary
Before exploring the grounding registry, serious readers must note the following institutional boundaries:
- Independent Status: Citation of external peer-reviewed papers or mathematical monographs does not imply that those authors or institutions endorse or have validated the Science of Fabric Reality.
- Authorial Theory: The Science of Fabric Reality remains an authorial candidate framework under active research and mathematical formulation; it requires continuous independent peer review and empirical validation.
- Comparative Context: Citations provide essential grounding, conceptual comparisons, and formal mathematical bounds, showing where Pasev—s axioms align with or depart from existing paradigms.
- Archival Provenance: Public records (e.g. Zenodo DOIs) establish secure timestamps and immutable priority of disclosure, not external peer endorsement.
Source Domains
The academic and classical foundations are organized into five primary domains. Use the interactive registry below to filter and audit the records:
Recommended Reading Paths
To assist physical scientists, programmers, and systems architects, the following reading paths are suggested to trace the formal lineage:
1. Mathematical Path
For scholars focusing on Category Theory, topology, and axiomatic structural consistency:
- Saunders Mac Lane, Categories for the Working Mathematician (1998)
- Steve Awodey, Category Theory (2010)
- Axiomatic Links: Principia Fabrica & Infinite Symmetry
2. Physics Path
For field theorists exploring gauge symmetries, conservation laws, and invariant field metrics:
- Hermann Weyl, Gravitation und Elektrizitat (1918)
- Physical Extensions: Pasev Gauge Principle & Extended TQFT
3. Systems & Cybernetics Path
For engineers tracing control theory, state transitions, and high-integrity systems engineering:
- Springer Consortium, Quantum Software and Technologies (Q-ST Review) (2026)
- Architectural Implementations: DFT Theory & Universal Mesh
4. AI & Verification Path
For computer scientists investigating formal verification, cryptographic commitments, and AI-driven simulation checks:
- Ken Deng & Di Luo (MIT/Harvard), Verifiable AI Physicists for Quantum Many-Body Simulations (2026)
- Logic Invariants: Kernel Logic (KBI) & CodexStation Nodes
5. Institutional & Governance Path
For researchers investigating distributed consensus, sovereign structures, and trust boundaries:
- Leslie Lamport et al., The Byzantine Generals Problem (1982)
- Governance Nodes: GILC Global Institute & Governance Protocol